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Image Denoising by Addaptive Non-Local Bilatetal Filter

by Dao Nam Anh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 12
Year of Publication: 2014
Authors: Dao Nam Anh

Dao Nam Anh . Image Denoising by Addaptive Non-Local Bilatetal Filter. International Journal of Computer Applications. 99, 12 ( August 2014), 4-10. DOI=10.5120/17423-8275

@article{ 10.5120/17423-8275,
author = { Dao Nam Anh },
title = { Image Denoising by Addaptive Non-Local Bilatetal Filter },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 12 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 4-10 },
numpages = {9},
url = { },
doi = { 10.5120/17423-8275 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:28:00.337433+05:30
%A Dao Nam Anh
%T Image Denoising by Addaptive Non-Local Bilatetal Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 12
%P 4-10
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

In fields such as demosaicking, texture removal, dynamic range compression, and photo enhancement many imaging modalities operate with images corrupted by different noise models. Bilateral filter and non-local mean filter are often applied for deduction of noise. This paper presents a new adaptive bilateral filter model to reconstruct edges by choosing neighborhood with non-local mean concept. The method yields considerable gain reduction of noise and keep edges better than original method. Basing in visual inspection, the new method considered as effective even in case of mixed noise.

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Index Terms

Computer Science
Information Sciences


Denoising filtering non-local mean bilateral filter